exascale

New cost-effective GPUs solver redesigns the computational game

1 min read · Thu, Jan 12 2017

exascale High Performance Computing parallel computing

Prof. David Keyes and his team proposed a GPUs light architecture to solve systems of multiple equations involving a large amount of data. Broadly used in computer gaming, mobile, and PC graphics - GPUs allow customizing an effective result-driven support to create a computational framework for increasing the number of processors while reducing the memory required to temporarily store the data.